Results 21 to 30 of about 62,954 (311)

Autoregressive functions estimation in nonlinear bifurcating autoregressive models [PDF]

Statistical Inference for Stochastic Processes, 2016
Bifurcating autoregressive processes, which can be seen as an adaptation of au-toregressive processes for a binary tree structure, have been extensively studied during the last decade in a parametric context. In this work we do not specify any a priori form for the two autoregressive functions and we use nonparametric techniques.
Bitseki Penda, Siméon Valère, Olivier, Adélaïde   +1 more
openaire   +2 more sources

Learned Lossless Image Compression With Combined Channel-Conditioning Models and Autoregressive Modules

IEEE Access, 2023
Lossless image compression is an important research field in image compression. Recently, learning-based lossless image compression methods achieved impressive performance compared with traditional lossless methods, such as WebP, JPEG2000, and FLIF.
Ran Wang, Jinming Liu, Heming Sun, Jiro Katto   +3 more
doaj   +1 more source

Track Prediction for HF Radar Vessels Submerged in Strong Clutter Based on MSCNN Fusion with GRU-AM and AR Model

Remote Sensing, 2021
High-frequency (HF) surface-wave radar has a wide range of applications in marine monitoring due to its long-distance, wide-area, and all-weather detection ability.
Ling Zhang, Jingzhi Zhang, Jiong Niu, Q. M. Jonathan Wu, Gangsheng Li   +4 more
doaj   +1 more source

A Novel Method of Adaptive Kalman Filter for Heading Estimation Based on an Autoregressive Model

Applied Sciences, 2019
With the popularity of smartphones and the development of microelectromechanical system (MEMS), the pedestrian dead reckoning (PDR) algorithm based on the built-in sensors of a smartphone has attracted much research.
Dashuai Chai, Guoliang Chen, Shengli Wang   +2 more
doaj   +1 more source

A Simulation Study to Assess the Factors of Influence on Mean and Median Frequency of sEMG Signals during Muscle Fatigue

Sensors, 2022
Mean and Median frequency are typically used for detecting and monitoring muscle fatigue. These parameters are extracted from power spectral density whose estimate can be obtained by several techniques, each one characterized by advantages and ...
Giovanni Corvini, Silvia Conforto
doaj   +1 more source

A Modified Weighted Symmetric Estimator for a Gaussian First-order Autoregressive Model with Additive Outliers

Walailak Journal of Science and Technology, 2012
Guttman and Tiao [1], and Chang [2] showed that the effect of outliers may cause serious bias in estimating autocorrelations, partial correlations, and autoregressive moving average parameters (cited in Chang et al. [3]).
Wararit PANICHKITKOSOLKUL
doaj   +1 more source

Bitcoin and the South Sea Company: A comparative analysis

Revista Finanzas y Política Económica, 2021
This paper examines historical Bitcoin price data together with the price data of a well-known and generally accepted historical asset price bubble (the 1720 South Sea Bubble) with the aim of identifying possible similarities.
Michael Demmler, Amilcar Orlian Fernández Domínguez   +1 more
doaj   +1 more source

Forecasting the development of renewable energy sources in the Visegrad Group countries against the background of the European Union

International Entrepreneurship Review, 2022
Objective: The aim of the article was to forecast the necessary pace of changes in the share of RES in the V4 countries resulting from the EU’s renewable energy sources directive compared to other European Union countries.
Krzysztof Adam Firlej, Marcin Stanuch
doaj   +1 more source

Empirical likelihood inference in autoregressive models with time-varying variances

Statistical Theory and Related Fields, 2022
This paper develops the empirical likelihood ( $ \mathrm {EL} $ ) inference procedure for parameters in autoregressive models with the error variances scaled by an unknown nonparametric time-varying function.
Yu Han, Chunming Zhang
doaj   +1 more source

Wind and Sea Breeze Characteristics for the Offshore Wind Farms in the Central Coastal Area of Taiwan

Energies, 2022
Renewable energy is crucial for achieving net zero emissions. Taiwan has abundant wind resources and most major wind farms are offshore over the Taiwan Strait due to a lack of space on land.
Ke-Sheng Cheng, Cheng-Yu Ho, Jen-Hsin Teng   +2 more
doaj   +1 more source